Papers
5
Total Citations
77
H-Index
4
About
Matt Bunting is a robotics researcher whose work sits at the intersection of bio-inspired locomotion and autonomous vehicle systems. His early research tackled one of mobile robotics' most ambitious challenges—ultra-high-speed locomotion—demonstrated through the design and testing of a cheetah robot hind limb (42 citations). This foundational work explored how biological principles could push robots beyond conventional speed limits. Bunting has since shifted his focus to the real-world deployment of autonomous vehicles, making significant contributions to traffic smoothing and heterogeneous fleet coordination. His 2019 field deployment of real-time filtering algorithms to smooth emergent traffic waves (12 citations) represents a rare and impactful translation of robotic control theory into practice. Bunting is also recognized for his middleware innovations, notably the CAN to ROS code generation tool (10 citations), which enables seamless integration of diverse vehicle platforms. His work on the ROS/JAUS bridge (9 citations) further demonstrates his commitment to interoperability in autonomous systems. Through constraint-based modeling of vehicle trajectories (4 citations), Bunting continues to advance practical, deployable solutions for autonomous ground vehicles, bridging the gap between simulation and real-world operation.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Middleware for a Heterogeneous CAV Fleet10 citations · 2023
- 4Generating a ROS/JAUS bridge for an autonomous ground vehicle9 citations · 2013
- 5